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Public100_1L_BERT_1epoch_notweettokenizer
This model is a fine-tuned version of Youssef320/LSTM-finetuned-50label-15epoch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.4790
- Top 1 Macro F1 Score: 0.0710
- Top 1 Weighted F1score: 0.1259
- Top 3 Macro F1 Score: 0.1736
- Top3 3 Weighted F1 Score : 0.2763
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Top 1 Macro F1 Score | Top 1 Weighted F1score | Top 3 Macro F1 Score | Top3 3 Weighted F1 Score |
|---|---|---|---|---|---|---|---|
| 3.9476 | 0.12 | 64 | 3.8956 | 0.0154 | 0.0435 | 0.0778 | 0.1518 |
| 3.7671 | 0.25 | 128 | 3.7204 | 0.0321 | 0.0730 | 0.1125 | 0.1998 |
| 3.6435 | 0.38 | 192 | 3.6285 | 0.0470 | 0.0933 | 0.1347 | 0.2295 |
| 3.6113 | 0.5 | 256 | 3.5790 | 0.0511 | 0.1013 | 0.1452 | 0.2450 |
| 3.5837 | 0.62 | 320 | 3.5457 | 0.0557 | 0.1080 | 0.1501 | 0.2515 |
| 3.5886 | 0.75 | 384 | 3.5189 | 0.0630 | 0.1166 | 0.1633 | 0.2631 |
| 3.5612 | 0.88 | 448 | 3.5018 | 0.0665 | 0.1207 | 0.1666 | 0.2677 |
| 3.5261 | 1.0 | 512 | 3.4790 | 0.0710 | 0.1259 | 0.1736 | 0.2763 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.1+cu102
- Datasets 2.0.0
- Tokenizers 0.11.0
